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Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory
In magnetic resonance (MR) imaging, a lack of standardization in acquisition often causes pulse sequence-based contrast variations in MR images from site to site, which impedes consistent measurements in automatic analyses In this paper, we propose an unsupervised MR image harmonization approach, CA...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473284/ https://www.ncbi.nlm.nih.gov/pubmed/34506916 http://dx.doi.org/10.1016/j.neuroimage.2021.118569 |